EP 4343644 A1 20240327 - METHOD FOR TRAINING A MACHINE LEARNING MODEL IN A SERVER-CLIENT MACHINE LEARNING SCENARIO
Title (en)
METHOD FOR TRAINING A MACHINE LEARNING MODEL IN A SERVER-CLIENT MACHINE LEARNING SCENARIO
Title (de)
VERFAHREN ZUM TRAINIEREN EINES MASCHINENLERNMODELLS IN EINEM SERVER-CLIENT-MASCHINENLERNSZENARIO
Title (fr)
PROCÉDÉ D'APPRENTISSAGE D'UN MODÈLE D'APPRENTISSAGE AUTOMATIQUE DANS UN SCÉNARIO D'APPRENTISSAGE AUTOMATIQUE SERVEUR-CLIENT
Publication
Application
Priority
EP 22196646 A 20220920
Abstract (en)
A method for training a machine learning (ML) model in a server-client ML scenario comprises determining by a ML service provider a set of rules for preparing input data, and preparing by a client input data according the received set of rules based on raw data from an associated terminal device, and training a ML model by the ML service provider based on the prepared input data provided by the client.
IPC 8 full level
G06N 20/00 (2019.01)
CPC (source: EP US)
G06N 20/00 (2019.01 - EP US)
Citation (search report)
- [XI] US 2018018590 A1 20180118 - SZETO CHRISTOPHER [US], et al
- [XI] CN 113128532 A 20210716 - BEIJING NOVAUTO TECH CO LTD
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
EP 4343644 A1 20240327; CN 117744794 A 20240322; US 2024104434 A1 20240328
DOCDB simple family (application)
EP 22196646 A 20220920; CN 202311212302 A 20230919; US 202318469659 A 20230919